Proposed Solutions for Nonrandomness in Educational Research

Auteurs-es

  • Thomas O. Maguire University of Alberta
  • W. Todd Rogers University of Alberta

Mots-clés :

educational research, randomization tests, statistical inference, resampling methods

Résumé

En éducation, des recherches expérimentales et quasi-expérimentales ainsi que des sondages sont souvent effectués avec les sujets qu’on a sous la main; il s’agit là de conditions contraires aux postulats de la plupart des méthodes d’inférence statistique traditionnelles. Dans cet article, les auteurs analysent et illustrent deux méthodes faisant largement appel à l’informatique et qui conviennent dans de telles circonstances: les tests de randomisation, qui clarifient les effets de traitement, et la technique bootstrap, qui permet d’évaluer le caractère incertain des généralisations appliquées à des populations. Ces techniques sont utiles dans les études non aléatoires dans la mesure où elles fournissent aux chercheurs le meilleur scénario possible d’incertitude statistique.

Statistiques

Chargement des statistiques…

Références

Bracht, G. H., & Glass, G. V. (1968). The external validity of experiments. American Educational Research Journal, 5, 437-474.

Bradley, J. V. (1968). Distribution-free statistical tests. Englewood Cliffs, NJ: Prentice-Hall.

Campbell, D. T., & Stanley, J. C. (1963). Experimental and quasi-experimental designs for research on teaching. In N. L. Gage (Ed.), Handbook of research on teaching (pp. 171-246). Chicago: Rand McNally.

Cornfield, J., & Tukey, J. (1956). Average values of mean squares in factorials. Annals of Mathematical Statistics, 27, 907-947.

Edgington, E. S. (1969). Statistical inference: The distribution-free approach. New York: McGraw-Hill.

Edgington, E. S. (1980). Randomization tests. New York: Marcel Dekker.

Edgington, E. S. (1985). Random assignment and experimental research. Educational Administration Quarterly, 21, 235-246.

Efron, B. (1979). Bootstrap methods: Another look at the jackknife. Annals of Statistics, 7, 1-26.

Efron, B. (1982). The jackknife, the bootstrap, and other resampling plans. Philadelphia, PA: Society for Industrial and Applied Mathematics.

Fisher, R. A. (1935). The design of experiments. Edinburgh: Oliver and Boyd.

Hakstian, A. R., Schroeder, M. L., & Rogers, W. T. (in press). Inferential procedures for correlation coefficients corrected for attenuation. Psychometrika.

Kempthorne, O. (1955). The randomization theory of experimental inference. Journal of American Statistical Association, 50, 946-967.

Macdonald, E. (1972). A comparison group and dyadic interaction as measured by the Flanders’ interaction analysis categories. Unpublished doctoral dissertation, University of Alberta, Edmonton.

Maguire, T. O. (1986). Applications of new directions in statistics to educational research. Alberta Journal of Educational Research, 32, 154-171.

Rao, C. R. (1973). Linear statistical inference and its applications. New York: Wiley.

Shepard, L., Gamilli, G., & Williams, D. M. (1984). Accounting for statistical artifacts in item bias research. Journal of Educational Statistics, 9, 93-128.

Stone, M. (1974). Cross-validatory choice and assessment of statistical predictions. Journal of the Royal Statistical Society, Series B, 36, 111-147.

Tukey, J. W. (1958). Bias and confidence in not quite large samples. Annals of Mathematical Statistics, 29, 614.

Tukey, J. W. (1977). Exploratory data analysis. Reading, MA: Addison-Wesley.

Winer, B. J. (1971). Statistical principles in experimental design. New York: McGraw-Hill.

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Publié-e

14-10-2026

Comment citer

Maguire , T. O., & Rogers , W. T. (2026). Proposed Solutions for Nonrandomness in Educational Research. Revue Canadienne De l’éducation, 14(2), 170–181. Consulté à l’adresse https://cje-rce.ca/index.php/cje-rce/article/view/8400

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